IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i18p6560-d1238175.html
   My bibliography  Save this article

Influence of Cooling Water Parameters on the Thermal Performance of the Secondary Circuit System of a Modular High-Temperature Gas-Cooled Reactor Nuclear Power Plant

Author

Listed:
  • Xin Wang

    (Institute of Nuclear and New Energy Technology, Advanced Nuclear Energy Technology Cooperation Innovation Center, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, China)

  • Gang Zhao

    (Institute of Nuclear and New Energy Technology, Advanced Nuclear Energy Technology Cooperation Innovation Center, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, China)

  • Xinhe Qu

    (Institute of Nuclear and New Energy Technology, Advanced Nuclear Energy Technology Cooperation Innovation Center, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, China)

  • Xiaoyong Yang

    (Institute of Nuclear and New Energy Technology, Advanced Nuclear Energy Technology Cooperation Innovation Center, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, China)

  • Jie Wang

    (Institute of Nuclear and New Energy Technology, Advanced Nuclear Energy Technology Cooperation Innovation Center, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, China)

  • Peng Wang

    (State Nuclear Electric Power Planning, Design & Research Institute Co., Ltd., Beijing 100095, China)

Abstract

This study quantitatively analysed the influence of cooling water parameters on the performance of a modular high-temperature gas-cooled reactor (MHTGR) nuclear power plant (NPP). The secondary circuit system and cold-end system were modelled using EBSILON software, version 16.0. The influence of cooling water inlet temperature and mass flow rate on the thermal performance of the secondary circuit system was analysed over the full power range with the goal of optimising net power. Under 100% rated condition, for each 1 °C increase in cooling water inlet temperature between 10 and 33 °C, the net power and cycle efficiency decreased by 0.67 MW and 0.14%, respectively, whereas the heat consumption rate increased by 28.72 kJ/(kW·h). The optimal cooling water mass flow rates corresponding to cooling water inlet temperatures of 16 °C and 33 °C were obtained. The optimal cooling water mass flow rate decreased nonlinearly with decreasing power levels. At a cooling water inlet temperature of 33 °C, an increase in cooling water mass flow rate from the designed value (7697.61 kg/s) to the optimal value (10,922.14 kg/s) resulted in a 1.03 MW increase in net power. These findings provide guidelines for MHTGR NPP operation optimisation and economic improvement, especially under high-temperature weather conditions.

Suggested Citation

  • Xin Wang & Gang Zhao & Xinhe Qu & Xiaoyong Yang & Jie Wang & Peng Wang, 2023. "Influence of Cooling Water Parameters on the Thermal Performance of the Secondary Circuit System of a Modular High-Temperature Gas-Cooled Reactor Nuclear Power Plant," Energies, MDPI, vol. 16(18), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6560-:d:1238175
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/18/6560/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/18/6560/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Tingting & Wang, Wei & Zeng, Deliang & Liu, Jizhen & Cui, Can, 2017. "Closed-loop optimization control on fan speed of air-cooled steam condenser units for energy saving and rapid load regulation," Energy, Elsevier, vol. 135(C), pages 394-404.
    2. Ahmad, Ali & Covatariu, Andrei & Ramana, M.V., 2023. "A stormy future? Financial impact of climate change-related disruptions on nuclear power plant owners," Utilities Policy, Elsevier, vol. 81(C).
    3. Wang, Wei & Liu, Jizhen & Zeng, Deliang & Lin, Zhongwei & Cui, Can, 2012. "Variable-speed technology used in power plants for better plant economics and grid stability," Energy, Elsevier, vol. 45(1), pages 588-594.
    4. Laskowski, Rafał & Smyk, Adam & Lewandowski, Janusz & Rusowicz, Artur & Grzebielec, Andrzej, 2016. "Selecting the cooling water mass flow rate for a power plant under variable load with entropy generation rate minimization," Energy, Elsevier, vol. 107(C), pages 725-733.
    5. Laskowski, Rafał & Smyk, Adam & Rusowicz, Artur & Grzebielec, Andrzej, 2020. "A useful formulas to describe the performance of a steam condenser in off-design conditions," Energy, Elsevier, vol. 204(C).
    6. Wang, Chaoyang & Liu, Ming & Zhao, Yongliang & Qiao, Yongqiang & Chong, Daotong & Yan, Junjie, 2018. "Dynamic modeling and operation optimization for the cold end system of thermal power plants during transient processes," Energy, Elsevier, vol. 145(C), pages 734-746.
    7. Haneklaus, Nils & Schröders, Sarah & Zheng, Yanhua & Allelein, Hans-Josef, 2017. "Economic evaluation of flameless phosphate rock calcination with concentrated solar power and high temperature reactors," Energy, Elsevier, vol. 140(P1), pages 1148-1157.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pavlo Kuznietsov & Olha Biedunkova & Yuliia Trach, 2023. "Monitoring of Phosphorus Compounds in the Influence Zone Affected by Nuclear Power Plant Water Discharge in the Styr River (Western Ukraine): Case Study," Sustainability, MDPI, vol. 15(23), pages 1-16, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Li, Xin & Chong, Daotong & Yan, Junjie, 2018. "Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes," Applied Energy, Elsevier, vol. 228(C), pages 2375-2386.
    2. Wu, Tao & Ge, Zhihua & Yang, Lijun & Du, Xiaoze, 2019. "Transient behavior of the cold end system in an indirect dry cooling thermal power plant under varying operating conditions," Energy, Elsevier, vol. 181(C), pages 1202-1212.
    3. Zhang, Kezhen & Zhao, Yongliang & Liu, Ming & Gao, Lin & Fu, Yue & Yan, Junjie, 2021. "Flexibility enhancement versus thermal efficiency of coal-fired power units during the condensate throttling processes," Energy, Elsevier, vol. 218(C).
    4. Nithyanandam, K. & Shoaei, P. & Pitchumani, R., 2021. "Technoeconomic analysis of thermoelectric power plant condensers with nonwetting surfaces," Energy, Elsevier, vol. 227(C).
    5. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Wang, Zhu & Chong, Daotong & Yan, Junjie, 2019. "Exergy analysis of the regulating measures of operational flexibility in supercritical coal-fired power plants during transient processes," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    6. Stevanovic, Vladimir D. & Ilic, Milica & Djurovic, Zeljko & Wala, Tadeusz & Muszynski, Slawomir & Gajic, Ivan, 2018. "Primary control reserve of electric power by feedwater flow rate change through an additional economizer – A case study of the thermal power plant “Nikola Tesla B”," Energy, Elsevier, vol. 147(C), pages 782-798.
    7. Shen, Feifei & Zhao, Liang & Wang, Meihong & Du, Wenli & Qian, Feng, 2022. "Data-driven adaptive robust optimization for energy systems in ethylene plant under demand uncertainty," Applied Energy, Elsevier, vol. 307(C).
    8. Mauger, Gedeon & Tauveron, Nicolas & Bentivoglio, Fabrice & Ruby, Alain, 2019. "On the dynamic modeling of Brayton cycle power conversion systems with the CATHARE-3 code," Energy, Elsevier, vol. 168(C), pages 1002-1016.
    9. Zhang, Yi & Liu, Jinfeng & Yang, Tingting & Liu, Jianbang & Shen, Jiong & Fang, Fang, 2021. "Dynamic modeling and control of direct air-cooling condenser pressure considering couplings with adjacent systems," Energy, Elsevier, vol. 236(C).
    10. Alsanousie, Abdurrahman A. & Elsamni, Osama A. & Attia, Abdelhamid E. & Elhelw, Mohamed, 2021. "Transient and troubleshoots management of aged small-scale steam power plants using Aspen Plus Dynamics," Energy, Elsevier, vol. 223(C).
    11. Wang, Wei & Liu, Jizhen & Zeng, Deliang & Niu, Yuguang & Cui, Can, 2015. "An improved coordinated control strategy for boiler-turbine units supplemented by cold source flow adjustment," Energy, Elsevier, vol. 88(C), pages 927-934.
    12. Chen, Chen & Liu, Ming & Li, Mengjie & Wang, Yu & Wang, Chaoyang & Yan, Junjie, 2024. "Digital twin modeling and operation optimization of the steam turbine system of thermal power plants," Energy, Elsevier, vol. 290(C).
    13. Laskowski, Rafał & Smyk, Adam & Rusowicz, Artur & Grzebielec, Andrzej, 2020. "A useful formulas to describe the performance of a steam condenser in off-design conditions," Energy, Elsevier, vol. 204(C).
    14. Xiao, Liehui & Yang, Minlin & Zhao, Shuaifei & Yuan, Wu-Zhi & Huang, Si-Min, 2019. "Entropy generation analysis of heat and water recovery from flue gas by transport membrane condenser," Energy, Elsevier, vol. 174(C), pages 835-847.
    15. Wenhui Huang & Lei Chen & Weijia Wang & Lijun Yang & Xiaoze Du, 2020. "Cooling Performance Optimization of Direct Dry Cooling System Based on Partition Adjustment of Axial Flow Fans," Energies, MDPI, vol. 13(12), pages 1-22, June.
    16. El-Behery, Samy M. & Hussien, A.A. & Kotb, H. & El-Shafie, Mostafa, 2017. "Performance evaluation of industrial glass furnace regenerator," Energy, Elsevier, vol. 119(C), pages 1119-1130.
    17. Zhiling Luo & Qi Yao, 2022. "Multi-Model-Based Predictive Control for Divisional Regulation in the Direct Air-Cooling Condenser," Energies, MDPI, vol. 15(13), pages 1-18, June.
    18. Gu, Yandong & Pei, Ji & Yuan, Shouqi & Wang, Wenjie & Zhang, Fan & Wang, Peng & Appiah, Desmond & Liu, Yong, 2019. "Clocking effect of vaned diffuser on hydraulic performance of high-power pump by using the numerical flow loss visualization method," Energy, Elsevier, vol. 170(C), pages 986-997.
    19. Fang, Lide & Liu, Yueyuan & Zheng, Meng & Liu, Xu & Lan, Kang & Wang, Fan & Yan, Xiaoli, 2023. "A new type of velocity averaging tube vortex flow sensor and measurement model of mass flow rate," Energy, Elsevier, vol. 283(C).
    20. Wang, Zhu & Liu, Ming & Zhao, Yongliang & Wang, Chaoyang & Chong, Daotong & Yan, Junjie, 2020. "Flexibility and efficiency enhancement for double-reheat coal-fired power plants by control optimization considering boiler heat storage," Energy, Elsevier, vol. 201(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6560-:d:1238175. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.